According to the credibility and importance for the observed results from different types of sensors,the measured data from multi-sensor after denoising are fused based on the data fusion algorithm of optimal weight distribution principle.

This paper introduces the structure design of data fusion system database.

Algorithmic should be paid equal attention to the architecture in a good data fusion system.

Fluid field model order reduction method for system-level simulation and optimization;

Several methodologies of system-level simulation adapted to MEMS were introduced,including the basic idea,construction method ,as well as advantages and disadvantages respectively.

With the development of MEMS system-level design,The system-level simulation of MEMS CAD becomes more and more important.

The system level simulation play an important role in MEMSCAD and the establishment for macro - model is the key of system level simulation.

The system level simulation is one of the critical phases.

This paper,according to the TD-SCDMA protocol,based on the idea of Monte Carlo,designs a TD-SCDMA system level simulation method,then provides the basic idea and the flow of the system static state simulation,and finally introduces the structure module of our simulation platform.

In accordance with the cyclostationary nature of the vibration signal of rotating machine,the blind equalization technique based on output second order statistic(SOS) was introduced to recover "real" vibration signal from multi-sensors signals,which is essentially the data level information fusion for homogeneous sensors signals.